# The Multivac — Evaluation Report

**Evaluation ID:** EVAL-20260207-150825
**Date:** Jan 30, 2026
**Category:** communication
**Question ID:** COMM-003

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## Question

Write a proposal to convince a skeptical VP of Engineering to migrate from a monolith to microservices.

Context:
- Current monolith: 500K lines of code, 8 years old
- Team: 40 engineers
- Deploy frequency: Once per week (usually delayed)
- VP's concern: "I've seen too many failed microservices migrations"

Your proposal should:
1. Acknowledge the legitimate concerns
2. Present evidence-based benefits
3. Propose a phased approach
4. Address likely objections
5. Define success metrics

Maximum 500 words.

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## Winner

**GPT-OSS-120B** (OpenAI)
- Winner Score: 9.53
- Matrix Average: 9.28
- Total Judgments: 90

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## Rankings

| Rank | Model | Provider | Avg Score | Judgments |
|------|-------|----------|-----------|----------|
| 1 | GPT-OSS-120B | OpenAI | 9.53 | 9 |
| 2 | Claude Sonnet 4.5 | Anthropic | 9.47 | 9 |
| 3 | Claude Opus 4.5 | Anthropic | 9.46 | 9 |
| 4 | Mistral Small Creative | Mistral | 9.39 | 9 |
| 5 | DeepSeek V3.2 | DeepSeek | 9.25 | 9 |
| 6 | Seed 1.6 Flash | ByteDance | 9.22 | 8 |
| 7 | Gemini 2.5 Flash | Google | 9.19 | 9 |
| 8 | GLM-4-7 | Zhipu | 9.17 | 9 |
| 9 | Grok 4.1 Fast | xAI | 9.17 | 9 |
| 10 | Gemini 2.5 Flash Lite | Google | 8.98 | 9 |

---

## 10×10 Judgment Matrix

Rows = Judge, Columns = Respondent. Self-judgments excluded (—).

| Judge ↓ / Resp → | GPT-OSS-120B | Gemini 2.5 | Seed 1.6 Flash | Gemini 2.5 | Grok 4.1 Fast | DeepSeek V3.2 | GLM-4-7 | Claude Sonnet | Claude Opus | Mistral Small |
|---|---|---|---|---|---|---|---|---|---|---|
| GPT-OSS-120B | — | 8.8 | 0.0 | 8.3 | 8.8 | 8.8 | 8.8 | 8.4 | 8.8 | 8.8 |
| Gemini 2.5 | 9.8 | — | 9.8 | 9.8 | 9.8 | 9.8 | 9.8 | 9.8 | 9.8 | 9.8 |
| Seed 1.6 Flash | 8.6 | 8.4 | — | 8.4 | 8.8 | 8.6 | 8.6 | 8.8 | 9.2 | 8.6 |
| Gemini 2.5 | 9.8 | 8.8 | 9.3 | — | 9.0 | 8.8 | 8.8 | 10.0 | 9.0 | 10.0 |
| Grok 4.1 Fast | 9.8 | 9.8 | 9.8 | 10.0 | — | 9.8 | 9.8 | 9.8 | 9.8 | 9.8 |
| DeepSeek V3.2 | 9.2 | 9.2 | 8.8 | 8.9 | 9.6 | — | 9.2 | 9.6 | 9.3 | 9.3 |
| GLM-4-7 | 9.6 | 8.8 | 8.8 | 9.6 | 9.3 | 9.3 | — | 9.3 | 9.8 | 9.6 |
| Claude Sonnet | 9.6 | 9.0 | 8.8 | 9.0 | 8.8 | 9.3 | 9.0 | — | 9.6 | 9.3 |
| Claude Opus | 9.6 | 8.4 | 8.8 | 9.0 | 8.8 | 9.0 | 9.0 | 9.6 | — | 9.3 |
| Mistral Small | 10.0 | 9.6 | 9.6 | 9.8 | 9.6 | 9.8 | 9.6 | 10.0 | 9.8 | — |

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## Methodology

- **10×10 Blind Peer Matrix:** All models answer the same question, then all models judge all responses.
- **5 Criteria:** Correctness, completeness, clarity, depth, usefulness (each scored 1–10).
- **Self-judgments excluded:** Models do not judge their own responses.
- **Weighted Score:** Composite of all 5 criteria.

---

## Citation

The Multivac (2026). Blind Peer Evaluation: COMM-003. app.themultivac.com

## License

Open data. Free to use, share, and build upon. Please cite The Multivac when using this data.

Download raw JSON: https://app.themultivac.com/api/evaluations/EVAL-20260207-150825/results
Full dataset: https://app.themultivac.com/dashboard/export